{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import os\n",
    "import cv2\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "from IPython.display import *\n",
    "from collections import Counter\n",
    "import seaborn as sns\n",
    "import pandas as pd\n",
    "from tqdm import tqdm\n",
    "\n",
    "%matplotlib inline\n",
    "%config InlineBackend.figure_format = 'retina'\n",
    "IMAGE_DIR = 'image_contest_level_2'\n",
    "CROP_DIR = 'crop_split2'\n",
    "\n",
    "from multiprocessing import Pool, Lock, Manager"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 数据并行预处理"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def f(index):\n",
    "    img = cv2.imread('%s/%d.png'%(IMAGE_DIR, index))\n",
    "    gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)\n",
    "\n",
    "    eq = cv2.equalizeHist(gray)\n",
    "    b = cv2.medianBlur(eq, 9)\n",
    "    \n",
    "    m, n = img.shape[:2]\n",
    "    b2 = cv2.resize(b, (n//4, m//4))\n",
    "\n",
    "    m1 = cv2.morphologyEx(b2, cv2.MORPH_OPEN, np.ones((7, 40)))\n",
    "    m2 = cv2.morphologyEx(m1, cv2.MORPH_CLOSE, np.ones((4, 4)))\n",
    "    _, bw = cv2.threshold(m2, 127, 255, cv2.THRESH_BINARY_INV)\n",
    "    \n",
    "    bw = cv2.resize(bw, (n, m))\n",
    "\n",
    "    img2, ctrs, hier = cv2.findContours(bw, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)\n",
    "    if len(ctrs) > 3:\n",
    "        print index\n",
    "    \n",
    "    # 微调三个公式\n",
    "    d = 20\n",
    "    d2 = 5\n",
    "    imgs = []\n",
    "    sizes = []\n",
    "    for i, ctr in enumerate(ctrs):\n",
    "        x, y, w, h = cv2.boundingRect(ctr)\n",
    "        if w*h < 1000:\n",
    "            continue\n",
    "        roi = img[max(0, y-d):min(m, y+h+d),max(0, x-d):min(n, x+w+d)]\n",
    "        p, q, _ = roi.shape\n",
    "        \n",
    "        x = b[max(0, y-d):min(m, y+h+d),max(0, x-d):min(n, x+w+d)]\n",
    "        x = cv2.morphologyEx(x, cv2.MORPH_CLOSE, np.ones((3, 3)))\n",
    "        _, x = cv2.threshold(x, 127, 255, cv2.THRESH_BINARY_INV)\n",
    "        _, x, _ = cv2.findContours(x, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)\n",
    "        x, y, w, h = cv2.boundingRect(np.vstack(x))\n",
    "        roi2 = roi[max(0, y-d2):min(p, y+h+d2),max(0, x-d2):min(q, x+w+d2)]\n",
    "        imgs.append(roi2)\n",
    "        sizes.append(roi2.shape)\n",
    "        cv2.imwrite('%s/%d_%d.png'%(CROP_DIR, index, i), roi2)\n",
    "    \n",
    "    # 连接三个公式\n",
    "    sizes = np.array(sizes)\n",
    "    img = np.zeros((sizes[:,0].max(), sizes[:,1].sum()+(len(sizes)-1)*2, 3), dtype=np.uint8)\n",
    "    x = 0\n",
    "    for a in imgs[::-1]:\n",
    "        iw = a.shape[1]\n",
    "        img[:a.shape[0], x:x+iw] = a\n",
    "        x += iw + 2\n",
    "    \n",
    "    cv2.imwrite('%s/%d.png'%(CROP_DIR, index), img)\n",
    "    \n",
    "    return [index, len(sizes)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 100000/100000 [18:40<00:00, 89.28it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 17.1 s, sys: 2.79 s, total: 19.9 s\n",
      "Wall time: 18min 40s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "\n",
    "try:\n",
    "    p\n",
    "except:\n",
    "    p = Pool(12)\n",
    "\n",
    "n = 100000\n",
    "if __name__ == '__main__':\n",
    "    rs = []\n",
    "    for r in tqdm(p.imap_unordered(f, range(n)), total=n):\n",
    "        rs.append(r)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import struct\n",
    "import imghdr\n",
    "\n",
    "def get_image_size(fname):\n",
    "    '''Determine the image type of fhandle and return its size.\n",
    "    from draco'''\n",
    "    with open(fname, 'rb') as fhandle:\n",
    "        head = fhandle.read(24)\n",
    "        if len(head) != 24:\n",
    "            return\n",
    "        if imghdr.what(fname) == 'png':\n",
    "            check = struct.unpack('>i', head[4:8])[0]\n",
    "            if check != 0x0d0a1a0a:\n",
    "                return\n",
    "            width, height = struct.unpack('>ii', head[16:24])\n",
    "        elif imghdr.what(fname) == 'gif':\n",
    "            width, height = struct.unpack('<HH', head[6:10])\n",
    "        elif imghdr.what(fname) == 'jpeg':\n",
    "            try:\n",
    "                fhandle.seek(0) # Read 0xff next\n",
    "                size = 2\n",
    "                ftype = 0\n",
    "                while not 0xc0 <= ftype <= 0xcf:\n",
    "                    fhandle.seek(size, 1)\n",
    "                    byte = fhandle.read(1)\n",
    "                    while ord(byte) == 0xff:\n",
    "                        byte = fhandle.read(1)\n",
    "                    ftype = ord(byte)\n",
    "                    size = struct.unpack('>H', fhandle.read(2))[0] - 2\n",
    "                # We are at a SOFn block\n",
    "                fhandle.seek(1, 1)  # Skip `precision' byte.\n",
    "                height, width = struct.unpack('>HH', fhandle.read(4))\n",
    "            except Exception: #IGNORE:W0703\n",
    "                return\n",
    "        else:\n",
    "            return\n",
    "        return width, height"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 100000/100000 [00:03<00:00, 31494.82it/s]\n"
     ]
    }
   ],
   "source": [
    "df = pd.read_csv('size.csv')\n",
    "sizes = []\n",
    "fnames = []\n",
    "for i in tqdm(range(100000)):\n",
    "    for j in range(1, df['r'][i]):\n",
    "        fname = '%s/%d_%d.png'%(CROP_DIR, i, j)\n",
    "        fnames.append(fname)\n",
    "        size = get_image_size(fname)\n",
    "        sizes.append(size)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "wmin wmax hmin hmax\n",
      "67 214 41 68\n"
     ]
    }
   ],
   "source": [
    "s = np.array(sizes)\n",
    "print 'wmin wmax hmin hmax'\n",
    "print s[:,0].min(), s[:,0].max(), s[:,1].min(), s[:,1].max()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7fdd156eeb50>"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAs4AAAH1CAYAAADmuXjfAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\nAAAWJQAAFiUBSVIk8AAAIABJREFUeJzt3X20XWV9J/Dvc0nMCwmhoVY6tZRgOyNl2a4SGHWJA9q6\nWixVxtou35YEKFVTcZWKWAsOMqJWLMWKScFWjKjVtRymhbZoOzM2UCi2QLRjl+B0ESilAgrIaxIa\nkj1/nJN4z8l9+V1yby659/NZ666Tvc9z9n72L2fv53v33Wef1nVdAACAiY3MdgcAAGB/IDgDAECB\n4AwAAAWCMwAAFAjOAABQIDgDAECB4AwAAAWCMwAAFAjOAABQIDgDAECB4AwAAAWCMwAAFAjOAABQ\nIDgDAECB4AwAAAWCMwAAFCyYyYW31u5MclCSu2ZyPQAAzHuHJ3m067pVM7WCGQ3OSQ5asmTJyiOP\nPHLlDK8HAIB57LbbbsvWrVtndB0zHZzvOvLII1feeuutM7waAADms9WrV2fTpk13zeQ6XOMMAAAF\ngjMAABQIzgAAUCA4AwBAgeAMAAAFgjMAABQIzgAAUCA4AwBAgeAMAAAFgjMAABQIzgAAUCA4AwBA\ngeAMAAAFgjMAABQIzgAAUCA4AwBAgeAMAAAFgjMAABQIzgAAUCA4AwBAgeAMAAAFgjMAABQIzgAA\nUCA4AwBAgeAMAAAFgjMAABQIzgAAUCA4AwBAgeAMAAAFgjMAABQIzgAAUCA4AwBAgeAMAAAFgjMA\nABQIzgAAUCA4AwBAgeAMAAAFgjMAABQIzgAAUCA4AwBAwYLZ7gAATOSEE06Y7S7Muo0bN852F4A4\n4wwAACWCMwAAFLhUA4D9xmPHnjYr611+8xX7vA+j1wk8MzjjDAAABYIzAAAUCM4AAFAgOAMAQIHg\nDAAABYIzAAAUCM4AAFAgOAMAQIHgDAAABYIzAAAUCM4AAFAgOAMAQIHgDAAABYIzAAAUCM4AAFAg\nOAMAQIHgDAAABYIzAAAUCM4AAFAgOAMAQIHgDAAABYIzAAAUCM4AAFAgOAMAQIHgDAAABYIzAAAU\nCM4AAFAgOAMAQIHgDAAABYIzAAAUCM4AAFAgOAMAQIHgDAAABYIzAAAUCM4AAFAgOAMAQIHgDAAA\nBYIzAAAUCM4AAFAgOAMAQIHgDAAABYIzAAAUCM4AAFAgOAMAQIHgDAAABYIzAAAUCM4AAFAgOAMA\nQIHgDAAABYIzAAAUCM4AAFAgOAMAQIHgDAAABYIzAAAUCM4AAFAgOAMAQIHgDAAABYIzAAAUCM4A\nAFAgOAMAQIHgDAAABYIzAAAUCM4AAFAgOAMAQIHgDAAABYIzAAAUCM4AAFAgOAMAQIHgDAAABYIz\nAAAUCM4AAFAgOAMAQIHgDAAABYIzAAAUCM4AAFAgOAMAQIHgDAAABYIzAAAUCM4AAFAgOAMAQIHg\nDAAABYIzAAAUCM4AAFCwYLY7ALA/OuGEE3b/e+PGjbPWD2Dv2Z+pcsYZAAAKBGcAACgQnAEAoEBw\nBgCAAsEZAAAKBGcAACgQnAEAoEBwBgCAAsEZAAAKBGcAACgQnAEAoEBwBgCAAsEZAAAKBGcAACgQ\nnAEAoEBwBgCAAsEZAAAKBGcAACgQnAEAoEBwBgCAAsEZAAAKBGcAACgQnAEAoEBwBgCAAsEZAAAK\nBGcAACgQnAEAoEBwBgCAAsEZAAAKBGcAACgQnAEAoEBwBgCAAsEZAAAKBGcAACgQnAEAoEBwBgCA\nAsEZAAAKBGcAACgQnAEAoEBwBgCAAsEZAAAKBGcAACgQnAEAoEBwBgCAAsEZAAAKBGcAACgQnAEA\noEBwBgCAAsEZAAAKBGcAACgQnAEAoEBwBgCAAsEZAAAKBGcAACgQnAEAoEBwBgCAAsEZAAAKBGcA\nACgQnAEAoEBwBgCAAsEZAAAKBGcAACgQnAEAoEBwBgCAAsEZAAAKBGcAACgQnAEAoEBwBgCAAsEZ\nAAAKBGcAACgQnAEAoEBwBgCAAsEZAAAKBGcAACgQnAEAoEBwBgCAAsEZAAAKBGcAACgQnAEAoGDB\nbHdgum3fvj2f//znkySvf/3rs3Dhwlnu0fSobNdwmyQTTj/wwAM55ZRTkiSf/vSns3Tp0rz1rW9N\nklx22WVZsWLFlPuwZcuWnHfeeUmSCy+8MEuXLp1wGVu2bBlYZ5KB6e3bt2fNmjVJkg0bNuQHf/AH\n88ADDwzM2759+8B2rFixYqAPSQam77///px22mlJkiuuuCILFiwYWN5BBx20Rx0eeeSRgXl33313\nzjzzzCTJpZdemmXLlg0s8/HHHx94PsnA9P333z/QtwMOOCAXXHBBkuT888/Py172slx77bW56KKL\nkiTnnHNOduzYkYsvvjhJ8s53vjNbt27N+vXrkyRr167NI488ks997nNJkje+8Y156KGH8qUvfSlJ\ncuKJJ2blypUDz69cuXKgb7fccktuuummJMmLX/zifOhDH8r555+f6667Lkly/PHH5zvf+U5uu+22\nJMmRRx6Zruty++23J0me//znZ9u2bbnrrruSJIcffnhGRkayefPmJMkRRxyR++67L1u2bEmS3e+N\n0dPXXnttTjjhhOxLGzdunPI6N27cOCN9AWbfJZdckquvvjpJ8upXvzpnnXXWHvOWLVs2cDxdtmxZ\nLr/88iTJW97ylqxYsWLg+L1kyZKBY/zixYvznve8J0nyoQ99KAsWLMi73vWuJMlHPvKRHHvssfna\n176Ws846a3efjjjiiIFxaOnSpQPj6X333Tcwli1ZsmRgesWKFQPtt2/fvsd4PTy+Dr9mskw1VzPY\naK3ruplbeGu3Hn300UffeuutM7aOYV/84hezbt26JMnb3/72vPa1r91n655Jle0abtN13YTTV1xx\nxUBoec5znpM777wzSS/kXHHFFVPuw3nnnZcbbrghSfLSl74073//+ydcxl/+5V8OrLPruoHphx9+\nOA899FCS5JBDDslVV12V17zmNQPztm7dOrAdRx999EAfuq4bmL7xxhuzc+fOJMnIyEgOOOCAbN++\nPUmycOHCPPe5z92jDqeeeurAvF1hcJeRkZGBZe7699P1dMLcdJuNPuwv6xx+jSA9s0bX+rFjT5uV\nPiy/+fvHw33Vh9Hr9B6bWRMdA54px6VVq1YNjEMnnnjiwHh6+eWXD4xly5cvHxgrX/e61w20//rX\nv77HeD08vg6/ZrJMNdsZbPXq1dm0adOmrutWz9Q65lRwfvjhh/OmN70pjz/+eJJk2bJl+exnP5uD\nDz54n6x/plS2a7jNgQcemCR54oknxpxetGhRnnzyyQnXu27duhx11FHlPtx9991585vfPLCMK6+8\nMocddtiYy1iyZEm2bt06pVqceuqp+dSnPjWl1+yts88+O7/3e7+3T9e5ePHibNu2bZ+uk6dPqJlZ\ngrP32Eyb7RMVww499NDcd999E7YZPYZWxvTR48rSpUt3n3DaZayxbvRrJstUz4QMti+C85y6xnnD\nhg27/8OS5PHHH8+GDRtmr0PTpLJdw22eeOKJ3SF5rOnJdrAk+e3f/u0p9eH888/fYxmj5w0vY6qh\nOck+D81J9nloTiI0A8xjk4XmZHAMrYzpo8eV4dCcjD3WjX7NZJlqrmawYXMmOG/evDnXXHPNHvOv\nueaa3X/a2B9Vtmu8Nnvrsccey1VXXVXqw/XXXz9mne+8887ccMMNM9ZHAGDfGC9TzdUMNpY5EZy7\nrsv69evHvK50586dWb9+fWbykpSZUtmu0Y8zYf369bn00ksn7MOOHTsmPCt70UUXZd26dTPWRwBg\n5o2VqeZqBhvPnAjON910U2655ZZxn7/55pvz1a9+dR/2aHpUtmvDhg0TttlbO3bsyNe+9rUJ+/CB\nD3wgjz766LhtHn300ezLD4gCADNjOFPN1Qw2nmm5HV1rbbxU9PzpWP5Etm/fnj/8wz+ctN369etz\nzDHH7De3Rqlu15/8yZ/sg95M7Ctf+cpsdwFm1TPtg0XMPd5jPJPsylRJ5mQGm8icOOMMAAAzbVqC\nc9d1q8f6SXL7dCx/IgsXLszb3va2SdutXbt2v/pNp7pdb3jDG/ZBbyb28pe/fLa7AADsI7sy1VzN\nYBOZE98c+OIXvzjHHHPMuNfYHHvssXnRi160j3u19yrbtWbNmnzzm9+cseucDzjggPzUT/3UuNc5\nH3vssTn33HNzyy23jHud80EHHZSf+ImfcJ0zc5Z77M4slyl4j80077G64Uw1VzPYeObEpRqttfzG\nb/xGRkb23JyRkZGsXbs2rbVZ6NneqWzXyMjIuG2mw9q1a/OOd7xjwj4ccMABOeecc8ZdxjnnnJO3\nv/3tM9ZHAGDmjZWp5moGG8+cSTKrVq3Kq171qj3mv+pVr8qqVatmoUfTo7Jd47XZW8uXL88v//Iv\nl/pw3HHHjVnnVatW7X5uJvoIAOwb42WquZrBxjJngnOSrFmzJsuWLds9vWzZsqxZs2b2OjRNKts1\n3ObAAw/c/TXbY00vWrRo0vX+7u/+7pT6cMEFF+yxjNHzhpexZMmSSfsw7NRTT53ya/bW2Wefvc/X\nuXjx4n2+TgCeGQ499NBJ24weQytj+uhxZenSpXs8P9ZYN/o1k2WquZrBhs2p4HzwwQfnlFNO2T29\nZs2affod6TOlsl3DbU499dSBN+zw9BlnnDGw4yxdunTgt8IjjjgiRx111JT6cNhhh+W4447bPf3S\nl740hx122LjLOP300/dY5/D0ypUrd08fcsghOeWUU/aYN7wdw30Ynh7956SRkZGBDywsXLhwjz6c\ndNJJe8wbNrzMvfXlL395r5ext2bjmsr9ZZ2uN4X5Yzb29y984Qt7zBseh0477bTd02ecccYeY9nw\nWHn66afvnj7ttNP2GBtPOumkCV8zWaaaqxls2Jz4cOBoJ5988u7vbz/55JNnuTfTp7Jdw226rptw\n+iUvecnuN/mVV16ZhQsX5q1vfWuS5GMf+9jT6sPv/M7v5LzzzkuSnHvuuZMu4xWveMXAOnfs2DEw\nvW3btt2B/5Of/GSS5BOf+MTAvK1btw5sx9KlSwf6sHPnzoHpe++9d/cB58orr0zXdbuX95nPfCZL\nlizZow4f/ehHB+bdeeedOfPMM5Mkl112WRYtWjSwzO9973sDz2/fvn1g+p577smFF16YJPngBz+Y\nJ598cvfZ+Q9/+MNJeteGX3TRRUmS973vfXnsscdy8cUXJ0ne+9735sEHH8z69euT9M4U3Hvvvfnc\n5z6XpHcQveeee/KlL30pSfIrv/IredaznjXw/OLFi3PppZcmSd797nfn+uuvz0033ZQkecUrXpEk\nOf7443PdddclSX7xF38xmzdvzm233Zak94GPxx57LLff3rt5zurVq/Pggw/mrrvuSpIcddRR2bp1\nazZv3pwkecELXpA77rgjW7ZsSZI8+9nPzhNPPDEwDTDbXv3qV+fqq69OkrzxjW8cd97o4+nIyEgu\nv/zyJMlZZ52VhQsXDhy/u64bOMbv3Lkz73nPe5Ikl1xySZ566qm8613vSvL9ceeSSy7JWWedlSRZ\nt25dnvvc5w6MQ4sWLRoYT1/4whcOjGULFiwYGCsPPPDAgfavfOUr9xivh8fX4ddMZq5msNHaTH4N\nYmvt1qOPPvpod1MA5prRn8J3Bnpmja71Y8eeNn7DGbT85iv2eR9Gr9N7bGbZn+eG1atXZ9OmTZv6\nt0SeEXPqUg0AAJgpgjMAABQIzgAAUCA4AwBAgeAMAAAFgjMAABQIzgAAUCA4AwBAgeAMAAAFgjMA\nABQIzgAAUCA4AwBAgeAMAAAFgjMAABQIzgAAUCA4AwBAgeAMAAAFgjMAABQIzgAAUCA4AwBAgeAM\nAAAFgjMAABQIzgAAUCA4AwBAgeAMAAAFgjMAABQIzgAAUCA4AwBAgeAMAAAFgjMAABQIzgAAUCA4\nAwBAgeAMAAAFgjMAABQIzgAAUCA4AwBAgeAMAAAFgjMAABQIzgAAUCA4AwBAgeAMAAAFgjMAABQI\nzgAAUCA4AwBAgeAMAAAFgjMAABQIzgAAUCA4AwBAgeAMAAAFgjMAABQIzgAAUCA4AwBAgeAMAAAF\ngjMAABQIzgAAUCA4AwBAgeAMAAAFgjMAABQIzgAAUCA4AwBAgeAMAAAFgjMAABQIzgAAUCA4AwBA\ngeAMAAAFgjMAABQIzgAAUCA4AwBAgeAMAAAFgjMAABQIzgAAUCA4AwBAgeAMAAAFgjMAABQIzgAA\nUCA4AwBAgeAMAAAFgjMAABQIzgAAUCA4AwBAwYLZ7gDA/mjjxo2z3QVgmtifqXLGGQAACgRnAAAo\nEJwBAKBAcAYAgALBGQAACgRnAAAoEJwBAKBAcAYAgALBGQAACgRnAAAoEJwBAKBAcAYAgALBGQAA\nCgRnAAAoEJwBAKBAcAYAgALBGQAACgRnAAAoEJwBAKBAcAYAgALBGQAACgRnAAAoEJwBAKBAcAYA\ngALBGQAACgRnAAAoEJwBAKBAcAYAgALBGQAACgRnAAAoEJwBAKBAcAYAgALBGQAACgRnAAAoEJwB\nAKBAcAYAgALBGQAACgRnAAAoEJwBAKBAcAYAgALBGQAACgRnAAAoEJwBAKBAcAYAgALBGQAACgRn\nAAAoEJwBAKBAcAYAgALBGQAACgRnAAAoEJwBAKBAcAYAgALBGQAACgRnAAAoEJwBAKBAcAYAgALB\nGQAACgRnAAAoEJwBAKBAcAYAgALBGQAACgRnAAAoEJwBAKBAcAYAgALBGQAACgRnAAAoEJwBAKBA\ncAYAgALBGQAACgRnAAAoEJwBAKBAcAYAgALBGQAACgRnAAAoEJwBAKBAcAYAgALBGQAACgRnAAAo\nEJwBAKBAcAYAgALBGQAACgRnAAAoEJwBAKBgwWx3AACqlt98xWx34RnRB2B2OOMMAAAFgjMAABS4\nVAOAZ7SNGzfOdhcAkjjjDAAAJYIzAAAUCM4AAFAgOAMAQIHgDAAABYIzAAAUCM4AAFAgOAMAQIHg\nDAAABYIzAAAUCM4AAFAgOAMAQIHgDAAABYIzAAAUCM4AAFAgOAMAQIHgDAAABYIzAAAUCM4AAFAg\nOAMAQIHgDAAABYIzAAAUCM4AAFAgOAMAQIHgDAAABYIzAAAUCM4AAFAgOAMAQIHgDAAABYIzAAAU\nCM4AAFAgOAMAQIHgDAAABYIzAAAUCM4AAFAgOAMAQIHgDAAABYIzAAAUCM4AAFAgOAMAQEHrum7m\nFt7ag0uWLFl55JFHztg6AADgtttuy9atWx/quu6QmVrHTAfnO5P8aJInk9w+YyuaP57ff1TLvaeW\n00ctp49aTh+1nB7qOH3UcvqMV8vDkzzadd2qmVrxjAbnJGmt3ZokXdetntEVzQNqOX3Ucvqo5fRR\ny+mjltNDHaePWk6f2ayla5wBAKBAcAYAgALBGQAACgRnAAAoEJwBAKBgxu+qAQAAc4EzzgAAUCA4\nAwBAgeAMAAAFgjMAABQIzgAAUCA4AwBAgeAMAAAF0xacW2sLWmtva639bWvt4dbaztbaA621Z41q\ns6i1dmFrbXNrbVtr7a7W2gdaa4umqx/7s9bac1prH22t3dFa29qv08daa4eO0VYth7TWfr619t3W\n2l3jPF+uWWttpLX2W6212/ptv91aW9daWzHjG/IMUKjla1trX+7v49taa19vrb2ptdbGaLuitfbx\n1to9/bbfaq29s7U2L35xn6yWY7S/rLXWtdY2jPHcvN7vK7WsjEX9dmo58T5uPJpE9Tg4lWPgfKxl\npY6ttQNaa7/WWru+v19vaa39XWvtleMs8z+01j7TWvtO//37j621U6alw13X7fVPksVJrkvSJbk9\nyeVJLkjy8SQLR7W7ut/mb5JcmOTa/vSfp/9lLPP1J8myJN9IsiPJVf36/GmSnUn+KcmyofZq+f1a\njPTfbzuS/HuSu8ZpV65Zkj/oP3drkg8k+UL//+KWJItme5tns5ZJPtevzbeS/H6Si5P8S3/eh4fa\nPivJzf3nru7X/Yb+9Mdne3tnu5ZjvOa/JnmiX58NYzw/L/f7KezjpbFILSfdx41Hk9exdByc6jFw\nvtWyUsf+e/Zv+/M2Jflwko8leaA/721Dy1yZ5M7++/ez6Y3h/7ff9uy97vM0bfgV/Q69O8nIOG1+\nrt/mf4z+z0+yvj//5Nn+D5zlN89p/TpcMDT//f35p6rlmHVbkeSv+9v9gSQbxxkIyjVL8h/7A8RX\nM/iL3zn9tr8529s9y7V8eX9fXzBq3sok96U3EB88av6v9Zd38ah5I0n+oj//Z2Z7u2ezlkOv+ZEk\nD/YHjj2C83zd76dSy8pYpJalfdx4NHktS8fBqRwD52Mtp1DHNyQ5fei1z0uypd92ZNT8C/v1OnPU\nvEXphe6tSX54r/o8DRu9Kr1U/6eTtPuj/oa8aGj+Yf35/3O2/wNn+c1zdr8OJw3N/6X+/N9SyzHr\ntiDJXyV5c396vIGgXLMk5/bnvW6o7ZIkjyfZNNvbPZu1nOD1nxmucZL/1Z/3w0Nt/0t//u/P9nY/\nE2rZH0i/kuTuJAdn7OA8L/f7KezjpbFILUu1NB49/RoPHAencgxUy/HrOEG7XWeiDx0175+TPJrk\nWUNt39xv+4696duC7L3Xp3fQ/+Okdy1PkgOT3Nv1e9p3TJKn0vvT925d193dWvvXJC+Zhr7sz/6+\n/3hier+J7nJS//H6UfPUsq/ruqeS/Hyh6VRqdkz/8e+H2m5trW1KclxrbWnXdVuefs+feaZQy/Ec\n1H98dNS8Y5Lc3XXdvUNtv5re/8ecfK8+jVq+O8nxSV7Wdd3DY1wqnszT/X4KtayORYlaTsZ49PQN\nHwencgxUy+8bazwZr12X3kmtXfv9jye5vuu6fx9qe0P/8SXpXerxtEzHh3NW9x+/01r7SpKHk/xb\nkm+31taOavdjSb7bdd32MZZxd5Ifaq0tm4b+7Je6rvvbJBuSrG2tfaK19tOttU8k+fUkH+i67pZR\nzdVy6qZSsx/rP/7bOG1bkiOmv4v7r9ba8iTHJdmc5Lb+vIPSO3u6Rx37B7T70/tT27zWWjs2vWtO\nP9h13fUTNLXfT6w6FiVqOSHj0dMzfBx8GsdAtczY48k47Q5P8pNJruu67vH+7InG73/tP+7VuDMd\nZ5wP7z9ekd5GviXJ8iTvSLKutfZk13Wf7M97cJxl7Nrgg0b9ez46Pb1ra8/o/yTJr3dd90dD7dRy\n6qZSs+VJnhrjt9Xhtnzfe9O7Lu3sUWf3lvcfnxjnNY8n+aGZ7tgzWX8Q/Hx6Z5gumKS5/X5ih/cf\nJxuLErWsMB5N3cBxsB8Ak/oxUC17xhpPxvLh9HLsfx81b9yad123vbX2ZPZy/J6OM867OnlN13Wv\n7rruE13XXZzeqfCtSd7Tf36ijafn/CSnJPk/6V1ne3+Sj7bWTh9qp5ZTN5Waqe8UtNZek941kX/a\ndd2nRj2ljpNbl+TZSd7Q/zP6RNRzYtWxKFHLCuPRFIxzHJxqbeZ9LScYT4bbnZXkV5N8tOu6vxn1\n1IzXcDqC8870OvqR0TO7rrsnvYu2n9da+4H0rlM5cJxl7PrTw2PT0J/9UmvtzCT/LclHuq77ua7r\nPpje3R3+Kskft9beMKq5Wk7dVGr2aJIFw/d9HaftvNZae1l6txP6xyRrhp7edW3aRHWft3Vsrb0u\nvQ+rrO267s7CS+z3E6uORYlaTsh4NDUTHAenegyc17WcZDwZ3e6N6d196K/Tu9vVaOPWvLW2ML27\na+xVDacjON+f3jWfY50teaT/uDjJHUme3e/4sMOSfK/rujn7hig4M8m9Sc7bNaPrukfTuwXLd5N8\ncFRbtZy6qdTsjv7jj4zTNuldbzavtdb+c3r3HL0nyS/036+79a85+07GqGP/l5LnpHe/zvnqLf3H\nz7beF57s/unPP6UNfhGK/X5i1bEoUcvJGI+KJjoOPo1j4Lyt5WTjyah2v5Te9ff/kOQ1Y1wPvjm9\nX6DHGr9/tP+4V+POdATnr/Yfx/q05/PS+xPZd5PcmN61KMeMbtBa+9H0NuYfpqEv+7PDkny767od\no2d2XbctybeTjP62JrWcuqnU7Mb+44uG2i5JcnSSb3Vd90jmsdbaC5J8KclDSX6267r7x2l6Y5LD\nWms/PDT/hen9f8zn9+r/Tu/syvDPn/Wf39yf/rv+tP1+YtWxKFHLyRiPCorHwakcA+dlLavjSWvt\n5Um+mN6X8/xC13VjXce8JcnXk/zMGH813nVs2Ls67s297PrXbP9kevfO/Icky0fN/9n0Uv9V/emf\nydg39l7Xn79mb/uyP//0/6O3JflPQ/OPTbI9yY2j5qnl+HXcmLHvS1quWXqDwtbs+QUo7+q3fd9s\nb+cs1/LH0zsbdU+SIyZZxskZ++b/f96ff8Jsb+ds1nKctodn7Ps42+8nqGV1LFLLUi2NR5PXrnQc\nnMoxcD7Wcgp1fFF6l1h8I8khkyzzNzP2F6Dcmt5fpJ63N31u/QXuldbaf0/vU5C3p/e1nD+S5HXp\nhY8Xdl33rX679Unelt7OekN6tw86Mb0zKsd3k384Zs7q//nhz9L7JOgX03sjHZ7kteldu/ezXdfd\nNKq9Wo6htbYxyeFd1x0+xnPlmrXWzknvE7ub0vtN+MfT+yDCHUmO6ebBGeexatn/lPg/pXdG6jNJ\n/t8YL/2Xrus+02/f0rsP7CvT+zPcN5K8LL3f/L/Ydd2vzuAmPGNM9L4co+3h6X1d7Ke7rlsz9Ny8\n3+8n2cdLY1G/rVqOU0vj0cSmchyc6jFwPtWyWsf07hv+9fRu7ffx9C7LGvaPXdf9eX+5i9Or10+n\nd9eif0nvy3tekN51+8PXRU/NNP7WcEp6IWNbeqfbv5g9f1sdSe9G//+c5Mn0fsP4g4w6OzCff9L7\nJqG/SO/7159K72skP50xfjtSy3FruDHjfx3vlGqW3lelfqP/nr4/veuqnjPb2zibtcz3z4ZO9LNx\n6DWL0/sl5O5+3e9I8r6MOps/138mel+O0XZXjTeM8dy83+8nq2VlLFLLyWtpPJqwblM6Dk7lGDif\nalmtY5K+NbKGAAAAh0lEQVQTCu02DC37B5Jc3n/fbkvyzfRuTdn2tt/TcsYZAADmuun4cCAAAMx5\ngjMAABQIzgAAUCA4AwBAgeAMAAAFgjMAABQIzgAAUCA4AwBAgeAMAAAFgjMAABQIzgAAUCA4AwBA\ngeAMAAAFgjMAABQIzgAAUCA4AwBAgeAMAAAFgjMAABT8fweBqeNNvsK4AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fdd5c182ed0>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 250,
       "width": 359
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.boxplot(s[:,0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 100000/100000 [00:01<00:00, 81233.39it/s]\n"
     ]
    }
   ],
   "source": [
    "sizes = []\n",
    "for i in tqdm(range(100000)):\n",
    "    fname = '%s/%d_%d.png'%(CROP_DIR, i, 0)\n",
    "    fnames.append(fname)\n",
    "    size = get_image_size(fname)\n",
    "    sizes.append(size)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "wmin wmax hmin hmax\n",
      "315 597 59 81\n"
     ]
    }
   ],
   "source": [
    "s = np.array(sizes)\n",
    "print 'wmin wmax hmin hmax'\n",
    "print s[:,0].min(), s[:,0].max(), s[:,1].min(), s[:,1].max()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7fdd152c5310>"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAsEAAAH1CAYAAAAXsiNSAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fdd15402b10>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 250,
       "width": 352
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.boxplot(s[:,0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x7fdd8965bc50>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAuIAAAH1CAYAAACz2JuBAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nDJw64+LJlRH2AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fdd99f0b150>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 250,
       "width": 369
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.scatter(s[:,0], s[:,1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "93631"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "s[:,1].argmax()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAdgAAABRCAIAAAD+cyBqAAAgAElEQVR4AezBR48k6Z045l/4iHSR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\n+XfoAfivBcAspDdGYTIAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Image('%s/%d_%d.png'%(CROP_DIR, s[:,1].argmax(), 0))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 结果可视化"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def disp2(img):\n",
    "    cv2.imwrite('a.png', img)\n",
    "    return display(Image('a.png'))\n",
    "\n",
    "\n",
    "def disp(img, txt=None, first=False):\n",
    "    global index\n",
    "    if first:\n",
    "        index = 1\n",
    "        plt.figure(figsize=(16, 9))\n",
    "    else:\n",
    "        index += 1\n",
    "    plt.subplot(4, 3, index)\n",
    "    if len(img.shape) == 2:\n",
    "        plt.imshow(img, cmap='gray')\n",
    "    else:\n",
    "        plt.imshow(img[:,:,::-1])\n",
    "    if txt:\n",
    "        plt.title(txt)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 技术原理\n",
    "\n",
    "* [转灰度图](http://docs.opencv.org/master/df/d9d/tutorial_py_colorspaces.html)\n",
    "* [二值化](http://docs.opencv.org/master/d7/d4d/tutorial_py_thresholding.html)\n",
    "* [直方图均衡](http://docs.opencv.org/master/d5/daf/tutorial_py_histogram_equalization.html)\n",
    "* [中值滤波](http://docs.opencv.org/master/d4/d13/tutorial_py_filtering.html)\n",
    "* [开运算](http://docs.opencv.org/master/d9/d61/tutorial_py_morphological_ops.html)\n",
    "* [轮廓查找](http://docs.opencv.org/master/d4/d73/tutorial_py_contours_begin.html)\n",
    "* [边界矩形](http://docs.opencv.org/master/dd/d49/tutorial_py_contour_features.html)\n",
    "\n",
    "参考链接：\n",
    "\n",
    "* http://docs.opencv.org/master/df/d9d/tutorial_py_colorspaces.html\n",
    "* http://docs.opencv.org/master/d7/d4d/tutorial_py_thresholding.html\n",
    "* http://docs.opencv.org/master/d5/daf/tutorial_py_histogram_equalization.html\n",
    "* http://docs.opencv.org/master/d4/d13/tutorial_py_filtering.html\n",
    "* http://docs.opencv.org/master/d9/d61/tutorial_py_morphological_ops.html\n",
    "* http://docs.opencv.org/master/d4/d73/tutorial_py_contours_begin.html\n",
    "* http://docs.opencv.org/master/dd/d49/tutorial_py_contour_features.html"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAzIAAABRCAIAAACG3wQTAAAgAElEQVR4AezBSW8cW54o9n+M50RO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\nL1El/zjRiH34AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAABuUAAAIwCAYAAACREGbgAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nAAAAAAAAzKQcAAAAAAAAzAKT0cTuS4rZuQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fdd825f3190>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 280,
       "width": 882
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "def plot(index):\n",
    "    global img, gray, b, eq, bw, m, n, m1, m2, r, roi, ctrs, d, d2\n",
    "    img = cv2.imread('%s/%d.png'%(IMAGE_DIR, index))\n",
    "    gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)\n",
    "\n",
    "    eq = cv2.equalizeHist(gray)\n",
    "    b = cv2.medianBlur(eq, 9)\n",
    "    \n",
    "    m, n = img.shape[:2]\n",
    "    b2 = cv2.resize(b, (n//4, m//4))\n",
    "\n",
    "    m1 = cv2.morphologyEx(b2, cv2.MORPH_OPEN, np.ones((7, 40)))\n",
    "    m2 = cv2.morphologyEx(m1, cv2.MORPH_CLOSE, np.ones((4, 4)))\n",
    "    _, bw = cv2.threshold(m2, 127, 255, cv2.THRESH_BINARY_INV)\n",
    "    \n",
    "    bw = cv2.resize(bw, (n, m))\n",
    "\n",
    "    r = img.copy()\n",
    "    img2, ctrs, hier = cv2.findContours(bw, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)\n",
    "    for ctr in ctrs:\n",
    "        x, y, w, h = cv2.boundingRect(ctr)\n",
    "        cv2.rectangle(r, (x, y), (x+w, y+h), (0, 255, 0), 10)\n",
    "    x, y, w, h = cv2.boundingRect(np.vstack(ctrs))\n",
    "    \n",
    "    disp(img, 'raw img', 1)\n",
    "    disp(eq, 'eq')\n",
    "    disp(b, 'blur')\n",
    "    disp(m1, 'm1')\n",
    "    disp(m2, 'm2')\n",
    "    disp(r, 'rect')\n",
    "    \n",
    "    # 微调三个公式\n",
    "    d = 20\n",
    "    d2 = 5\n",
    "    imgs = []\n",
    "    sizes = []\n",
    "    for i, ctr in enumerate(ctrs):\n",
    "        x, y, w, h = cv2.boundingRect(ctr)\n",
    "        roi = img[max(0, y-d):min(m, y+h+d),max(0, x-d):min(n, x+w+d)]\n",
    "        p, q, _ = roi.shape\n",
    "        \n",
    "        x = b[max(0, y-d):min(m, y+h+d),max(0, x-d):min(n, x+w+d)]\n",
    "        x = cv2.morphologyEx(x, cv2.MORPH_CLOSE, np.ones((3, 3)))\n",
    "        _, x = cv2.threshold(x, 127, 255, cv2.THRESH_BINARY_INV)\n",
    "        _, x, _ = cv2.findContours(x, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)\n",
    "        x, y, w, h = cv2.boundingRect(np.vstack(x))\n",
    "        roi2 = roi[max(0, y-d2):min(p, y+h+d2),max(0, x-d2):min(q, x+w+d2)]\n",
    "        imgs.append(roi2)\n",
    "        sizes.append(roi2.shape)\n",
    "    \n",
    "    # 连接三个公式\n",
    "    sizes = np.array(sizes)\n",
    "    img2 = np.zeros((sizes[:,0].max(), sizes[:,1].sum()+len(sizes)-1, 3), dtype=np.uint8)\n",
    "    x = 0\n",
    "    for a in imgs[::-1]:\n",
    "        w = a.shape[1]\n",
    "        img2[:a.shape[0], x:x+w] = a\n",
    "        x += w + 1\n",
    "    \n",
    "    return disp2(img2)\n",
    "    \n",
    "\n",
    "# plot(56044)\n",
    "# plot(42030)\n",
    "# plot(59934)\n",
    "# plot(57424)\n",
    "# plot(42126)\n",
    "plot(93631)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAfQAAABkCAAAAABVrJ2hAAANlklEQVR4Ae3BgU4bUZYFwDqRfP//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\ngg==\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAMgAAABUCAAAAADilyd6AAAF8ElEQVR4Ad3BUW4bSRYEwEgBevc/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\na0i9htRrSL2G1GtIvYbUa/gfz1bYH64RfvIAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAMgAAABUCAAAAADilyd6AAAFrElEQVR4Ad3BC2ocC5QswMgLOvtf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\n6jmknsP/B54cvB91pxgDAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "for i, ctr in enumerate(ctrs):\n",
    "    x, y, w, h = cv2.boundingRect(ctr)\n",
    "    roi = img[max(0, y-d):min(m, y+h+d),max(0, x-d):min(n, x+w+d)]\n",
    "    p, q, _ = roi.shape\n",
    "\n",
    "    x = b[max(0, y-d):min(m, y+h+d),max(0, x-d):min(n, x+w+d)]\n",
    "    x = cv2.morphologyEx(x, cv2.MORPH_CLOSE, np.ones((3, 3)))\n",
    "    disp2(x)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 2",
   "language": "python",
   "name": "python2"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.13"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
